Circuits that contain the Modeling Application : SNNAP (Home Page)

(SNNAP -- Simulator for Neural Networks and Action Potentials is a tool for rapid development and simulation of realistic models of single neurons and neural networks. It includes mathematical descriptions of ion currents and intracellular second messengers and ions. In addition, you can simulate current flow in multicompartment models of neurons by using the equations describing electric coupling.)
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1. A network model of tail withdrawal in Aplysia (White et al 1993)
2. Burst induced synaptic plasticity in Apysia sensorimotor neurons (Phares et al 2003)
3. Computational Model of a Central Pattern Generator (Cataldo et al 2006)
4. Computational model of the distributed representation of operant reward memory (Costa et al. 2020)
5. Homosynaptic plasticity in the tail withdrawal circuit (TWC) of Aplysia (Baxter and Byrne 2006)
6. S cell network (Moss et al 2005)

Re-display model names with descriptions